✨ Enterprise Features
CLI & Developer Experience
| Feature | Description | Documentation |
|---|---|---|
| CodeMie CLI | Unified CLI wrapping Claude Code, Gemini, OpenCode, and a built-in LangGraph agent. Includes SSO authentication, analytics, audit logging, secrets scanning, budget controls, and governance policies. Bring-your-own-infrastructure model with no per-developer fees. | Overview |
| Assistants from CLI | Connect any CodeMie platform assistant to Claude Code via codemie setup assistants. Call assistants directly from a coding session using @assistant-name, or start a terminal-only chat session. | Assistants Integration |
| Skills from CLI | Install any CodeMie skill into Claude Code as a slash command via codemie setup skills. Skills can also be invoked directly from the terminal with codemie skill run. | Skills Integration |
| Claude Code Skills | Six pre-built skills automatically available in codemie-claude: platform SDK management (codemie-sdk), analytics reports (codemie-analytics), branded HTML dashboards (codemie-html-report), config health audit (claude-setup-audit), GitHub issue filing (report-issue), and Microsoft 365 access (msgraph). | Claude Code Skills |
Platform Extensions
| Feature | Description | Documentation |
|---|---|---|
| LiteLLM Proxy | Unified gateway for multi-LLM deployments. Enables connection to AWS Bedrock, Azure OpenAI, and Google Vertex AI with spend tracking, user-based budgeting, load balancing, and model failover. Required for multi-provider deployments. Requires CodeMie v2.0.0+. | LiteLLM Proxy |
| Assistants Evaluation | Langfuse-based open-source LLM observability platform. Provides tracing of LLM calls, evaluation scoring of AI responses, usage analytics, and debugging tools for LLM applications. | Assistants Evaluation |
| AI Code Explorer (AICE) | Graph-based (Neo4j) code analysis and exploration platform. Provides advanced code understanding through AI-powered insights and knowledge graph representation for large codebases. | AI Code Explorer |
| MF Lens | Mainframe code analysis and exploration solution. Uses graph-based (Neo4j) knowledge representation for COBOL and mainframe code, with LiteLLM for AI-powered insights. | MF Lens |
| Control Plane | Shows project leads what AI-assisted delivery produced and what it cost. Combines CodeMie CLI sessions with tracker tickets and Git merge requests per project, stream and person. | Control Plane |
AWS AgentCore
| Feature | Description | Documentation |
|---|---|---|
| AWS AgentCore | Discover AWS-hosted agent runtimes, browse their endpoints, and install them as assistants in the platform — without writing integration code. Requires an active AWS integration. | AWS AgentCore |
Analytics & Governance
| Feature | Description | Documentation |
|---|---|---|
| Budget Management | Per-user and per-project spend limits enforced via LiteLLM. Supports three budget categories (Platform, CLI, Premium models) with configurable soft/hard limits, automatic resets, and real-time spend tracking. A project budget is set as one total and distributed across the categories, then shared among members as a pool or as enforced per-member allocations with individual overrides. Requires LiteLLM Proxy. | Budget Management · Project Budgets · Platform Configuration |
| Provisioning API | Lets registered external systems, such as a ServiceNow request portal, look up people's projects and set, adjust, or cancel project budgets, creating projects, cost centers, and project admins along the way. Each client is confined to the provisioning API and holds only the permissions granted to it. Requires project budget management and platform-managed user management. | Provisioning Clients · ServiceNow Budget Integration |
| Chargeback & Cost Centers | Internal billing attribution for AI spend. Marks a project's spend as billable, and groups projects — a program, a department, a client engagement — under a cost center so their combined spend settles on a single bill. Cost centers hold no budget of their own; limits stay on the projects. Requires a project budget. | Chargeback & Cost Centers |
| AI Adoption Analytics | Analytics dashboard tracking LLM usage, costs, and AI adoption across the organization. Includes the AI Champions Leaderboard — ranking users by engagement score across six dimensions. Requires LiteLLM Proxy for spending data. | Analytics |
Access Requirements
All features listed on this page are part of the CodeMie Enterprise package. Contact the CodeMie platform administrator to enable them for a given deployment.